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[jobs] Post-Doc in Developmental Robotics - Short Deadline

by Patricia Hazel Shaw [phs]

Post-Doctoral Research Associate, (Fixed Term until 31 March 2018) Institute of Mathematics, Physics and Computer Science Grade 7 - £32,600 - £37,768 Closing Date: 30th June 2016 Interview Date: 4th July 2016 Applicants are invited to join the Robotics Laboratory for a project (entitled “Developmental Algorithms for Robotics”). The project is focusing on developmental robotic learning based on an iCub humanoid robot. This is a three year EPSRC funded project running at Aberystwyth University started March 2015, with the support of an International Scientific Advisory Board consisting of leading developmental psychologists. We wish to appoint a Post-Doctoral Research Associate who will develop models based on the psychological literature, and conduct experiments on our iCub humanoid robot. The successful candidate will have appropriate modelling skills and experience, and proven abilities in this area. Other tasks include writing scientific documents and papers, documenting experiments and writing reports, supervising a PhD student and collaborating with other researchers. Regular European travel will be involved. The project ends March 2018, with the fixed-term contract running to this date. For informal enquiries contact Patricia Shaw: phs(a)aber.ac.uk<mailto:phs@aber.ac.uk> +44 (0)1970 622432. For the full job description, please visit: https://jobs.aber.ac.uk/en/vacancy/post-doctoral-research-associate-develop… -------------------------------------------------------------------- Astudio gyda ni yn Aberystwyth - Prifysgol Gyntaf Cymru https://www.aber.ac.uk/cy/undergrad/ Study at Aberystwyth – Wales’ First University https://www.aber.ac.uk/en/undergrad/

June 24, 2016

Postdoctoral Position at Yale Neuroscience

by McCormick, David

An outstanding, highly-motivated post-doctoral fellow is sought to participate in studies on the cellular/network mechanisms of optimal state for performance. Candidates experienced in either computational, imaging/optogenetic, or electrophysiological methodologies are sought. We are investigating the mechanisms by which the optimal state for detection and discrimination performance is achieved in mouse neocortex. Mice are trained to perform visual and auditory detection/recognition/discrimination tasks. Through state-of-the-art techniques, such as two-photon monitoring of activity in known neuromodulatory axons in the cortex, whole cell recording of synaptic activity, high density array recordings of cortical unit activity, and optogenetic manipulation of specific transmitter systems, we are able to determine and decipher the role of different transmitter systems and neural pathways that rapidly control neuronal responsiveness. We have recently shown that the waking state varies on a continual basis and that these fluctuations account for a large component of response and behavioral variance. We take a circuit-based approach to systems neuroscience, revealing how the nervous system achieves a goal through the synaptic interaction of cells in local and long range circuits, modulated by neurotransmitters, to generate flexible behavior. Support: Postdoctoral fellows are well supported with state-of-the-art equipment dedicated to their experiments. Salary (45-65K) is competitive and commensurate with experience and contribution. Lab website: www.mccormicklab.org<http://www.mccormicklab.org/> Please contact david.mccormick(a)yale.edu<mailto:david.mccormick@yale.edu> with inquiries and applications. Send statement of interest, CV, and the names of three people for letters of recommendation. Positions available Fall, 2016. David A. McCormick Professor, Neuroscience | Yale University School of Medicine Dept. Neuroscience 333 Cedar Street | New Haven, CT 06510 | 203.785.5981 www.mccormicklab.org<http://www.mccormicklab.org/> | www.neurobiology.org<http://www.neurobiology.org/>

June 22, 2016

Summer school on neural and sensorimotor foundations of social interaction (BCBT/socSMCs)

by Alexander Maye

---------------------------------------------------------- CALL FOR PARTICIPATION ---------------------------------------------------------- Barcelona Cognition, Brain and Technology Summer School (BCBT2016) University Pompeu Fabra, Barcelona, Spain. 5-16 September 2016 http://bcbt.upf.edu/bcbt16 Join us for the annual "Barcelona Cognition, Brain and Technology summer school - BCBT2016 " (see http://bcbt.upf.edu/bcbt16/home) to be held 5-16 September 2016 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (http://csnetwork.eu/) This year the school will be supported by the EU project socSMCs (Socializing Sensorimotor Contingencies) - A FET Proactive Horizon 2020 funded research project. (http://socsmcs.eu/) This is the 9th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures are available online (see http://bcbt.upf.edu/bcbt16/media) with the BCBT Podcast interviews with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems- robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2016 edition we plan a 1st week of the school addressing Neural basis of social interaction while the 2nd week will include presentations aimed at the investigation of Socializing Sensorimotor Contingencies. Friday 16 is reserved for the presentation of the student projects to which everybody is invited. Application deadline: July 27th, 2016 For more information on how to apply, please go to http://bcbt.upf.edu/bcbt16/ participate BCBT is organized by Paul Verschure (BCBT Chair), ICREA and University Pompeu Fabra Barcelona, ES Andreas K. Engel (BCBT Co-Chair) University Medical Center Hamburg-Eppendorf (UKE), DE Anna Mura (BCBT Co-Chair), University Pompeu Fabra Barcelona, ES -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

June 21, 2016

Postdoc Position Available in the Kanan lab at the Rochester Institute of Technology

by Christopher Kanan

Topic: Machine learning and deep learning for detecting manipulated images One postdoctoral position is available in the laboratory of Christopher Kanan at the Rochester Institute of Technology, in Rochester, NY (USA). The lab specializes in applying machine learning algorithms to solve problems in computer vision and related fields. The candidate will be responsible for developing new algorithms for the detecting manipulated and tampered images. Requirements: Ph.D. in computer science or related field; A research record in computer vision and/or machine learning; Familiarity with deep learning The position is initially for one year, but is renewable upon strong performance for an additional year. The salary is significantly above the typical postdoctoral market rate. Applications should be sent by email to ( christopher.kanan(a)rit.edu) and should include a CV, the expected data of availability, and contact information for 3 references. The starting date is September 2016. I will be available to do interviews during CVPR-2016. -- Christopher Kanan, Ph.D. Assistant Professor Carlson Center for Imaging Science Rochester Institute of Technology Office 3140, Building #76 http://klab.cis.rit.edu/ http://www.chriskanan.com

June 21, 2016

PhD and PostDoc Position at Düsseldorf

by Esther Florin

Please note that the deadline is on the 27th of June. An earlier message was not delivered. Post-Doc and PhD position at the Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Düsseldorf Both positions are in the context of the project “Spontaneous brain activity in healthy subjects and Parkinson's disease”, funded by the Volkswagen foundation. The project aims at providing a characterization of the neurophysiological basis of the brain’s resting state networks (RSNs) by determining how communication between and within RSNs is mediated, using electro-/magnetoencephaolographic (E/MEG) data from healthy participants. In the second part of the project the characterization of RSN electrophysiology will be used to improve our understanding of the pathophysiology of Parkinson’s disease. A particular focus will be on tracing out the electrophysiological mechanisms underlying the effectiveness of dopamine treatment and deep brain stimulation. The jobs involve research design, data collection, data analysis, methods developments/implementation, presenting at conferences, and participating in the writing up of the results. The PostDoc is also expected to assist in the supervision and training of junior lab members. Preferable candidates will have a strong background in physics, neuroscience, electrophysiology, biology, computer science or related fields. Knowledge of MEG/EEG biophysics, data acquisition and analysis, biostatistics, and signal processing or the willingness and capability to quickly acquire this knowledge are essential. Qualities we are looking for: · Good scientific programming and data processing skills · Familiarity with Matlab and LaTeX · Solid knowledge of descriptive and inductive statistics and time series analysis · Previous exposure to M/EEG source estimation, Brainstorm, and fMRI resting state analysis are considered a plus · Strong motivation to carry out neuroimaging studies utilizing MEG and to perform source and connectivity analysis · Knowledge of neuroscience concepts · Good interpersonal and communication skills, particularly in the interaction with subjects and patients (beneficial: knowledge of German) · Excellent skills in written and spoken English; · Proven track record of academic excellence What we offer: The group is part of the Institute for Clinical Neuroscience and Medical Psychology at Heinrich-Heine University, Düsseldorf, located in the capital of Germany’s biggest state. The institute hosts a state-of-the-art 306 channel MEG-system and a 128 channel EEG system as well as a 3T MRI. The Heinrich-Heine University (HHU) is part of the Neuroscience Network Düsseldorf, a collaborative effort jointly with the Research Centre Jülich and the IUF - Leibniz Research Institute for Environmental Medicine Düsseldorf. A particular focus of this network is the investigation of disease-associated pathomechanisms such as the one of Parkinson's disease. At the HHU Düsseldorf the graduate school iBrain has been established and enables graduate students to obtain further formal qualifications in neuroscience. Terms and conditions for this position: Both positions are available from 1st of July 2016 or until filled. The initial appointment is for 2-3 years (postdoc) or 3 years (PhD student). Salary for the PostDoc will be according to E13/TV-L and for the PhD up to 0.65 E13/TV-L. Health insurance is included. The contract will be affiliated with Heinrich Heine University Düsseldorf. Female candidates are encouraged to apply; they will be given preference in cases of equal aptitude, ability, and professional achievements unless there are exceptional reasons for choosing another applicant. Applications from suitably qualified severely disabled persons or disabled persons regarded as being of equal status according to Book IX of the German Social Legal Code (SGB – Soziales Gesetzbuch) are encouraged to apply. Disabled applicants will be given preferential consideration in the case of equal aptitude. More information about this vacancy? Please contact Esther Florin: esther.florin(a)med.uni-duesseldorf.de<redir.aspx?REF=n0heCJN2SIPp5bF7BPLNIgtomqUCHYIGBBx5vHNmbFYEOMc_OJnTCAFtYWlsdG86ZXN0aGVyLmZsb3JpbkBtZWQudW5pLWR1ZXNzZWxkb3JmLmRl> Are you interested? Please send your application within 3 weeks to: Universitätsklinikum Düsseldorf D 01.2.1 – Kennziffer: 149E/16, Moorenstr. 5, D-40225 Düsseldorf It should include the following documents: · short (one page) application letter · your CV, incl. a list of publications and the names and contact details of two scientists who can provide references · writing sample · one-page summary of your research For administrative reasons, we cannot return applications. In submitting your application, you give your consent to the retention of the application documents by the university hospital Düsseldorf. _______________________________________________ Dr. Esther Florin Lichtenberg Assistant Professor for Systems Neuroscience Institute for Clinical Neuroscience and Medical Psychology Heinrich-Heine University Düsseldorf Tel: +49-(0)211-81-08439 esther.florin(a)med.uni-duesseldorf.de<redir.aspx?REF=n0heCJN2SIPp5bF7BPLNIgtomqUCHYIGBBx5vHNmbFYEOMc_OJnTCAFtYWlsdG86ZXN0aGVyLmZsb3JpbkBtZWQudW5pLWR1ZXNzZWxkb3JmLmRl>

June 20, 2016

Postdoctoral Fellowship in multiscale modeling methods for neuroscience simulation

by McDougal, Robert

Multiscale Modeling Postdoctoral Fellowship available for combining cell biology (reaction-diffusion) and electrophysiology in the NEURON simulator (neuron.yale.edu<http://neuron.yale.edu>). The position involves an unusual mix of software engineering and science, depending on the candidate's background and interests. Mathematically, interesting challenges arise in coupling 1D and 3D simulations and coupling deterministic with stochastic simulation. Biologically, dendrites and spines produce complex morphologies with much possibility for spatial variation in concentration. At the network level, the molecular scale interacts in unexpected ways with cellular and network dynamics. Although the work is technical and focused on software development, paper writing is expected with opportunity for both methods papers and biological papers, typically in collaboration with experimental labs. The postdoc will receive training in a wide range of interdisciplinary skills from computer science, applied math, biophysics, cell biology, electrophysiology, etc. The work is being performed in close collaboration with experimental laboratories, giving the opportunity to immediately determine how closely a modeling technique can match the experimental reality (or how experimental artifact can be reduced so as to match a model). Candidates should have a strong background in computer programming, with demonstrated proficiency in C/C++, Python, or some other major language. Familiarity with any or all of threading, MPI, SBML, or user interface design is a strong plus. Strong interest, though not necessarily research experience, in cell biology and/or neuroscience is a must. Some experience with NEURON is desirable. We are part of the team that develops and disseminates the NEURON multiscale modeling (MSM) environment, used by thousands of researchers over decades (now in year 40). As with most simulators, NEURON has historically emphasized neuronal network connectivity and cell membrane electrical dynamics. Recent advances in genomics and proteomics require that the scales of cell biology be added to the MSM mosaic. This extension is particularly important for understanding major problems in learning and memory (the genesis of long-term potentiation in the interaction of chemo- and electro-) and in understanding and developing treatments for brain disease. The work is being done as a collaboration between SUNY Downstate and Yale University under the auspices of a 5 year continuation of an ongoing grant from the National Institute of Mental Health. The NIH and other agencies (FDA, NASA, NSF, DARPA, others) are making a strong push to enhance multiscale modeling in biomedical engineering across organ systems, but particularly with respect to brain function and brain disease -- this is a major growth area in bioscience. Based on the candidate's background and preferences, job could be in Brooklyn, New Haven or via telecommuting. The labs maintain frequent communication via instant messaging (Slack) with software sharing via git and mercurial. Applicants should contact Bill Lytton or Robert McDougal by email (billl at neurosim.downstate.edu<http://neurosim.downstate.edu> robert.mcdougal at yale.edu<http://yale.edu>; no snail mail please) with a CV and cover letter describing your experience with any relevant technologies (Python, C/C++, MPI, NEURON, etc). SUNY is an equal opportunity employer.

June 17, 2016

Biomag 2016 Brain Connectivity Analysis Competition

by Stefan Haufe

Dear colleagues, we have just launched a data analysis competition on brain connectivity analysis using EEG and MEG. Detailed information on the challenge and the data to be analyzed can be found at http://bbci.de/supplementary/EEGconnectivity/BBCB.html . At this website, we also offer a basic Matlab-based software framework for generating EEG/MEG data in a realistic head model, plotting results, etc. You and your colleagues are warmly invited to participate in the challenge. Please feel free to pass on this link to anyone else who might be interested. Besides active participation we would also be very happy to just hear your general opinion on the design of the challenge, and about any suggestions for extension (in the future). Our challenge is on of three official data analysis competitions of this year's BIOMAG conference. The invitation to participate in all three challenges is pasted below for your convenience. With best wishes, Stefan Haufe and Arne Ewald -------- Forwarded Message -------- Subject: [megcommunity] Biomag 2016 Data Analysis Competition Date: Mon, 30 May 2016 16:56:31 +0200 From: Ole Jensen <ole.jensen(a)DONDERS.RU.NL> Reply-To: Ole Jensen <ole.jensen(a)DONDERS.RU.NL> To: MEGCOMMUNITY(a)JISCMAIL.AC.UK Dear all, We are happy to announce three challenges for the 'Data Analysis Competition' at Biomag 2016. Please see details at http://www.biomag2016.org/data_analysis_competition.php The aim of the competitions is to promote the development and application of new analysis techniques. The challenges will help to elucidate pros and cons of different techniques and attract experts from outside the MEG field. The winners of the competition will be given the opportunity to present their proposal at the Biomag meeting in Seoul (Oct 1-6) in order to spark discussions on analysis. Please encourage colleagues to participate! Best regards, Ole Jensen -- Prof. dr. Ole Jensen http://www.neuosc.com

June 17, 2016

FW: 2nd Call for Papers: IEEE Transactions on Cognitive and Developmental Systems Special Issue on Neuromorphic Computing and Cognitive Systems

by Arindam Basu

Dear all， You are invited to submit your work to IEEE Transactions on Cognitive and Developmental Systems Special Issue on Neuromorphic Computing and Cognitive Systems. The submission deadline has been extended to June 30, 2016. Thanks for your contributions! (And apologies for cross-posting if any) IEEE Transactions on Cognitive and Developmental Systems Special Issue on Neuromorphic Computing and Cognitive Systems AIM AND SCOPE In recent years neuromorphic computing has become an important emerging research area. There has been rapid progress in computational theory, learning algorithms, signal processing and circuit design and implementation, which have shown appealing computational advantages over conventional solutions. The low size, weight, and power of these hardware architectures shows great potential for embedded cognitive systems. Starting from emulating the computational principles and architecture found in neural systems, neuromorphic computing aims to integrate sensory coding, synaptic computing (e.g., STDP), learning and memory, and attempts to develop neuromorphic sensors and chips, and cognitive behaving systems such as robots. Neuromorphic hardware has provided a fundamentally different technique for data representation and learning, e.g., asynchronous events rather than regularly sampled frames of images. Various hardware systems leveraging on neural spikes based computing have been reported to achieve good performance with much lower power consumption. Therefore, neuromorphic computing can inform cognitive systems because the algorithms that run on this hardware must be neurobiologically inspired. A huge potential exists for applying this emerging computing framework to the next generation of cognitive systems and robotics, neuro-inspired sensors and processors, etc. THEMES This special issue aims to report state-of-the-art approaches and recent advances on (a) learning algorithms constrained by limits of biology and neuromorphic hardware (b) neuromorphic hardware for cognitive systems and (c) applications of neuromorphic architecture or hardware to cognitive robotics. Topics relevant to this special issue include, but are not limited to • Neuromorphic cognitive systems • Cognitive robotics • Brain-inspired data representation models • STDP, Spike-based sensing and learning algorithms • Spike based processing and methods for configuring spike-based processors SUBMISSION Manuscripts should be prepared according to the “Information for Authors” of the journal found at http://cis.ieee.org/publications.html and submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee <https://mc.manuscriptcentral.com/tcds-ieee> and please select the category “SI: Neuromorphic Computing”. IMPORTANT DATES 15 June 2016-Extended to 30 June 2016: Deadline for manuscript submission 15 Sep 2016: Notification of authors 15 Oct 2016: Deadline for revised manuscripts 15 Nov 2016：Final version GUEST EDITORS Huajin Tang, Sichuan University, China. （htang(a)scu.edu.cn<mailto:htang@scu.edu.cn>） Tiejun Huang, Peking University, China. （tjhuang(a)pku.edu.cn<mailto:tjhuang@pku.edu.cn>） Garrick Orchard，National University of Singapore (garrickorchard(a)nus.edu.sg<mailto:garrickorchard@nus.edu.sg>） Arindam Basu，Nanyang Technological University, Singapore (arindam.basu(a)ntu.edu.sg<mailto:arindam.basu@ntu.edu.sg>） Jeffrey L. Krichmar，University of California, Irvine, US （jkrichma(a)uci.edu<mailto:jkrichma@uci.edu>） Best regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

June 17, 2016

Fwd: Faculty Position in Neural Data and Imaging Sciences, Sabanci Univ., Istanbul

by Mujdat Cetin

*Faculty Position in Neural Data and Imaging Sciences at Sabancı University* http://ee.sabanciuniv.edu/en/full-time-faculty-position-neural-data-and-ima… The Faculty of Engineering and Natural Sciences (FENS) at Sabancı University, İstanbul, Turkey invites applications for a full-time faculty position in the area of Neural Data and Imaging Sciences with a targeted start date of Fall 2016. The ideal candidate for this position would have a Ph.D. degree in electrical engineering, computer science, biomedical engineering, computational neuroscience, or a related field, as well as a strong research and publication record in the area of information extraction from challenging neural data. Particular research areas of interest include but are not limited to neuroinformatics, big neural sensor data analytics, biomedical imaging, brain informatics, signal processing of neural activity, computational neuroimaging, neural image analysis, machine learning for understanding the brain, and connectomics. Sensing/imaging modalities of interest include but are not necessarily limited to MRI, fMRI, DTI, PET, EEG, MEG, ECoG, and several forms of microscopy. Application areas of interest include, but are not limited to healthcare, neurotechnology, brain-computer interfaces, neurorehabilitation, and neurorobotics. The faculty member will have a primary affiliation with the Electronics Engineering program but will be expected to conduct collaborative research with other programs in FENS as well. Applications from candidates at all ranks are encouraged. For candidates at the Assistant Professor level, post-doctoral research experience is a plus. Successful candidates are expected to develop externally-funded internationally-recognized research programs; teach undergraduate and graduate courses; advise and mentor graduate and undergraduate students; and undertake service responsibilities. Successful candidates will have the opportunity to benefit from the state-of-the-art infrastructure of the brand-new Nanotechnology Research and Application Center (SUNUM), as well as to be involved in the Professional Master’s Program in Data Analytics. Sabancı University, a privately funded premier academic institution, established in 1996 in its state-of-the-art campus located in suburban İstanbul. The university offers 13 undergraduate programs and 38 graduate programs in three faculties (Faculty of Engineering and Natural Sciences, Faculty of Arts and Social Sciences, School of Management). The University aims to establish a high standard of academic excellence and a research-oriented atmosphere for its international faculty and students, while nurturing productive relationships particularly with the industries in the region which constitute the industrial heartland of Turkey. The medium of instruction is English. In 2015, Sabancı University ranked 13th globally in the Times Higher Education (THE) ranking of the top 100 universities under 50 years old, and 21st in the THE Asia university rankings. In the recently announced THE ranking of the world’s best small universities in 2016, Sabancı University ranked 10th globally. It ranked first among all universities in Turkey in the University Entrepreneurship and Innovation Index of the Ministry of Science, Industry, and Technology in 2015. Detailed information about the Electronics Engineering Program at Sabancı University can be found at http://ee.sabanciuniv.edu/ Applicants should submit their applications online through https://crm.sabanciuniv.edu/acadcv/application.php and provide a cover letter, curriculum vitae, statement of research interests, statement of teaching interests, and at least three professional references. Review of applications will begin on July 1, 2016 and will continue until the position is filled. -- Mujdat Cetin Technical Program Co-chair, IVMSP 2016 -- http://ivmsp2016.org Technical Co-chair, FUSION 2016 -- http://fusion2016.org Faculty Member Faculty of Engineering and Natural Sciences Sabanci University Orhanli, Tuzla 34956, Istanbul, Turkey Phone : +90 (216) 483-9594 Fax : +90 (216) 483-9550 E-mail : mcetin(a)sabanciuniv.edu Web : http://spis.sabanciuniv.edu

June 16, 2016

Scientist II opening in Computational Neuroscience at the Allen Institute for Brain Science (Seattle, USA)

by Costas Anastassiou

Scientist II opening in Computational Neuroscience Lab headed by Dr. Costas Anastassiou Allen Institute of Brain Science Do you want to make a difference in our understanding of brain disorders? Do you have a solid background in computational neuroscience/scientific computing/simulation-based research and curious about how the brain works? Are you able to meet aggressive timelines and deliverables in a collaborative environment? The laboratory headed by Dr. Costas Anastassiou at the Allen Institute is currently looking for a talented Scientist II to work on large-scale, biophysically detailed brain circuit simulations to explore the pathophysiology of epilepsy. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. Position summary: We are seeking to fill a position at the level of Scientist II (SciII) to work on an exciting new translational neuroscience pilot project at the Institute. The goal of this project is to investigate cellular and circuit mechanisms of epileptogenesis in human hippocampus. To address these questions, we seek to develop a faithful computational model of the human epileptogenetic hippocampus consisting of a multitude of reconstructed, interconnected and biophysically faithful neurons emulating anatomical and dynamical characteristics of the pathological brain tissue. For examples of biophysically realistic network models as pursued in this work see [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013; Taxidis, Anastassiou et al, Neuron, 2015]. The aim of the computational model is to (i) understand how synaptic, cellular and connectivity properties of pathological brain tissue give rise to pathophysiological network dynamics, (ii) understand how pathophysiological dynamics are reflected on signals such as depth-, ECoG- and EEG-recordings, and (iii) identify intervention targets to abort or suppress pathological activity. Importantly, the computational effort will occur in parallel with novel in vitro experiments in brain slices derived from patients undergoing surgery for treatment refractory mesial temporal lobe epilepsy that will provide the data on which the computational modeling will be based. The project will be pursued in collaboration with in-house experimental colleagues as well as neurologists and neurosurgeons and has a guaranteed duration initially of 18 months beginning in the summer of 2016. Responsibilities: · Construct detailed biophysical models using cable theory and NEURON-software. · Design, implement and analyze large-scale network simulations. · Publish/present findings in peer-reviewed journals/scientific conferences. · Prepare written and oral reports on a regular basis. · Publish scientific findings in peer-reviewed journals and relevant conferences. · Maintain clear and accurate communication with supervisor and team members. Qualifications: · PhD degree in computational neuroscience, physics, biology, bioengineering or related fields. · Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as python. · Ability to meet aggressive timelines and deliverables in a collaborative environment. · Strong publication record. · Experience in pursuing research projects in collaborative fashion. · Proven independent thinking and flexibility. · Familiarity with in vitro and in vivoelectrophysiological monitoring techniques and data analyses. · Strong written and verbal communication skills. How to apply: Visit the Allen Institute for Brain Science Careers website and fill out your information for the Scientist II-position under “2200-Modeling, Analysis and Theory”.

June 16, 2016

Programmer wanted for Neuroscience and Neuroprosthetics Lab

by Sliman Bensmaia

Lab at the cutting edge of neuroscience and neurotechnology looking for a programmer to keep us at the cutting edge! The lab has two general pursuits: discover the neural basis of touch and proprioception – how do patterns of activation in the nerve and in the brain mediate our ability to feel objects by touch and sense the position and movements of our limbs in space? – and to develop a somatosensory neuroprosthesis – How can we recreate the sense of touch by stimulating the nerve or the brain. See http://bensmaialab.org for additional information regarding the lab and the exciting work we are doing. Ideally, looking for a motivated, intelligent individual who works well with people, someone who might be able to make a long term commitment to the lab and help us build something special. Job Summary Responsible for interfacing the various machines in the lab (robots, sensors, data acquisition systems, etc.) with computers and with each other to run neurophysiological and behavioral experiments with human and non-human primates. Education Bachelor's degree in computer science or a related field of engineering required. Experience One year of relevant programming experience required. Experience developing, implementing, debugging and maintaining applications required. Two years of professional programming experience preferred. Experience developing applications using C++, Matlab, Python, Java, MySQL, Visual Basic, and/or any other object oriented programming language preferred. Experience building and debugging electronic systems preferred but not required. Knowledge of electromechanical systems preferred but not required. Interest in and/or knowledge of neurophysiology preferred but not required. -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203 -- Sliman Bensmaia Associate Professor Department of Organismal Biology and Anatomy University of Chicago 773.834.5203

June 16, 2016

Postdoctoral positions available in Dr. Suzanne Haber's lab

by Sarah Heilbronner

2 Postdoctoral positions are available in Dr. Suzanne Haber’s lab at the University of Rochester. The studies use nonhuman primate anatomical connectivity studies in combination with MRI in nonhuman and human primates to investigate: 1. Reward pathways and their interface with cognitive and motor control circuits; and 2. Circuitry underlying obsessive-compulsive disorder (OCD). The first project is designed to delineate connectional hubs within cortex and basal ganglia structures that receive convergent inputs from reward and cognitive control regions. Specific focus is on dorsolateral, ventrolateral, ventromedial, orbital, and anterior cingulate cortices and the striatum and amygdala. The approach is to use traditional anatomical tract-tracing circuitry techniques in combination with state of the art imaging methods such as diffusion and functional MRI to explore the location of these hubs in both animal and human brains and their relationship to disease. The second project is designed to characterize the organizational principles that govern white matter organization and trajectories connecting frontal areas with particular emphasis on the connectional hubs. These data will form the basis for segmenting white matter with respect to function in order to identify and evaluate diffusion MRI changes associated with OCD and its treatments. These studies are part of a Silvio O. Conte Center grant involving several Institutions and multiple techniques investigating the neurocircuitry of OCD and effects of neurostimulation. The ideal applicants would have background in systems neuroscience and/or neuroimaging. These positions will give opportunities to interact with pioneering scientists through the Conte Center grant and will provide unique training at the forefront of anatomy, neuroimaging, and translational neuroscience. Applicants should submit a summary of research interests, a curriculum vitae and names of three references to: Dr. Suzanne Haber, Department of Pharmacology and Physiology: Email: Suzanne_Haber(a)URMC.Rochester.edu. (AA/EOE).

June 16, 2016

Extended Deadline for Goettingen's Advanced Computational Neuroscience Summer School

by Agostina Palmigiano

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Extended deadline for applications for the Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany September 06th - 16th, 2016 DEADLINE *June 24, 2016* %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% The aCNS School is a 10-day intensive course in mathematical and computational neuroscience. It offers students working in computational neuroscience and already familiar with its interdisciplinary nature, an intensive pedagogy of advanced mathematical and computational tools, designed to qualify young researchers to push the frontiers of the field. The course counts with and introductory day + 4 two-day theoretical blocks + 4 evening lectures in charge of the following researchers: * Vijay Balasubramanian <http://www.sas.upenn.edu/%7Evbalasub/public-html/Home.html>, University of Pennsylvania, Philadelphia, USA * Jason Kerr <http://www.caesar.de/bbo.html>, Center of Advanced European Studies and Research, Bonn, Germany * Gilles Laurent <http://brain.mpg.de/research/laurent-department.html>, MPI for Brain research, Frankfurt, Germany * Tobias Moser <http://www.innerearlab.uni-goettingen.de/>, University Medical Center, Göttingen Germany * Erwin Neher <http://www.nobelprize.org/nobel_prizes/medicine/laureates/1991/neher-bio.ht…>, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany * Magnus Richardson <https://www2.warwick.ac.uk/fac/sci/systemsbiology/staff/richardson/>, University of Warwick, Conventry, England * Wolf Singer <http://www.esi-frankfurt.de/research/singer-lab/>, Ernst Strüngmann Institute for Neuroscience, Frankfurt, Germany * Misha Tsodyks <http://www.weizmann.ac.il/neurobiology/labs/tsodyks/>, Weizmann Institute of Science, Rehovot, Israel The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 euros. Course language is English. Housing is provided by the school. Travel grants can be provided upon request. Only 15 participants will accepted. We invite applicants to apply by filling out the application form at: http://www.bccn-goettingen.de/events/cns-course <http://www.bccn-goettingen.de/events/cns-course> by *June 24, 2016*. Organizers: Rainer Engelken, Joscha Liedtke, Agostina Palmigiano, Manuel Schottdorf, Jens Wilting Best wishes and looking forward to seeing you in Göttingen, Agostina Palmigiano ___________________________ Agostina Palmigiano Max Planck Institute for Dynamics and Self-Organization Am Fassber 17, 37077 Goettingen +49 551 5176 421 office +49 163 882 6689 mobile http://www.nld.ds.mpg.de/ <http://www.nld.ds.mpg.de/> ___________________________

June 16, 2016

Postdoctoral Position in Computational Neuroscience at Georgia State University

by Yaroslav Molkov

A postdoctoral/research associate position in computational neuroscience for the initial duration of one year is immediately available in the externally funded project focusing on multi-scale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA) and Yaroslav Molkov (Dept. of Mathematics, Georgia State University, Atlanta, GA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline, a strong research record, and excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Georgia State University is an urban public research university. Georgia State students and employees can take advantage of the university’s easy access to Atlanta’s rich creative environment, diversity of cultures and lifestyles, and wide variety of indoor and outdoor activities. The world’s busiest airport is just minutes from campus. Atlanta provides Georgia State’s faculty and students with an urban laboratory, enabling them to draw creative inspiration. Interested candidates are encouraged to contact Dr. Molkov (ymolkov(a)gsu.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. Dr. Molkov will be available to answer questions about this position during Organization for Computational Neuroscience Annual meeting, July 2-7, 2016, Jeju, Korea. ================================= Yaroslav Molkov, Ph.D. Associate Professor Georgia State University Department of Mathematics and Statistics 30 Pryor St SW, 750-COE, Atlanta, GA 30303 Office: 722-COE Phone/fax: (404) 413-6422 Email: ymolkov(a)gsu.edu

June 16, 2016

Final Call for Papers: Extracellular Space

by Reinoud Maex

JOURNAL OF INTEGRATIVE NEUROSCIENCE http://www.worldscinet.com/jin Call for Papers! Special Issue on Extracellular Space In experimental neuroscience, most electric signals are picked up from the electrolytic (or colloidal) solution that constitutes extracellular (interneuronal) space, yet the origin of these potentials is incompletely understood. Even more, theoreticians have recently argued about the physical principles underlying these phenomena. The present special issue invites experimental and theoretical work that can shed light on electric phenomena in extracellular space, with an emphasis on extracellular potentials and endogenous electric field interactions. The contributions solicited are original research papers and comprehensive reviews on methodological aspects. Submission deadline: 30 September 2016 Contact: Dr. Reinoud Maex reinoud.maex(a)ens.fr Questions that may be addressed are (but are not limited to): 1. The nature of extracellular potentials - What is nature of the electric currents, and what is the velocity (distribution) of the ions involved? Since membrane currents underlie the extracellular currents, what are the relative contributions of synaptic versus voltage-gated channels, excitatory versus inhibitory synapses, capacitive currents? How important are Lorenz forces between currents (due to the generated magnetic fields) and is there a contribution of polarization currents? - Is extracellular space purely resistive, or is a capacitive component involved, and what factors (such as ionic concentration, Debye shielding, etc.) contribute to its resistivity? 2. Modeling of extracellular potentials and electric field interactions - What level of detail is needed to model extracellular electrical phenomena, and which formalism can be employed? How valid is the cable equation, or need slow concentration changes of the major ionic components involved be modeled explicitly? How can LFP calculations be incorporated in simulation software? - Can volume transmission be simulated adequately as volume conductors? Are ephaptic coupling effects adequately simulated in one dimension? 3. Neuronal inference from measured extracellular potentials - What is the importance of the electrode characteristics for the proper interpretation of the measured signals? - What are the underlying assumptions, and limitations, of current-source-density analysis? How valid is the dipole approximation? Why are recent experiments being interpreted in terms of monopoles, and can single-compartmental model neurons generate local field potentials at all? - What can be learned from the power density distribution of signal frequencies? 4. Neurostimulation - What is the effect on neurons of an externally applied current or potential, and what mechanism (or rationale) underlies deep brain stimulation? 5. Physiological roles of extracellular potentials and endogenous electrical fields - Do extracellular potentials contribute to neuron-neuron and neuron-glia communication? Can there be a role for extracellular potentials in the homeostasis, clearance, and volume regulation of extracellular space, and in the control of blood flow and of the blood-brain-barrier. - What is the integrative role of endogenous electrical fields in brain function?

June 16, 2016

Papers on networks of neurons with nonlinear dendrites and Binary Synapses trained by structural plasticity

by Arindam Basu

Dear all Let me draw your attention to some work done by our group over the past few years in developing networks of neurons with lumped dendritic nonlinearity and binary synapses. The connections on each dendritic branch is sparse and the neurons learn to classify patterns when trained using different structural plasticity rules. Thus learning happens by modiying network connection matrix and not by weight change. These networks have advantage for hardware implementations--reduced memory and resistance to mismatch due to binary synapses. We have demonstrated supervised and unsupervised spike time based learning rules and have used these networks as readout of liquid state machines, to improve the reservoir in a liquid state machine, to classify spike latency patterns like tempotron or to classify MNIST images. I summarize the papers below and also include arxiv links for your reading pleasure. 1. S. Hussain, S. C. Liu and A. Basu, "Biologically plausible, Hardware-friendly Structural Learning for Spike-based pattern classification using a simple model of Active Dendrites," Neural Computation , vol. 27, no. 4, pp. 845-897, April 2015 link: http://arxiv.org/pdf/1411.5881.pdf ** Margin based learning, spike time based supervised learning, results on UCI dataset 2. S. Roy, A. Banerjee and A. Basu, "Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations," IEEE Trans. on Biomedical Circuits & Systems , vol. 8, no. 5, pp. 681-695, 2014. link:http://arxiv.org/pdf/1411.5458.pdf ** Readout of LSM, 30X less binary synapses compared to parallel perceptron 3. S. Roy, P. P. San, S. Hussain, Lee Wang Wei and A. Basu, "Learning Spike Time Codes through Morphological Learning with Binary Synapses," IEEE Trans. on Neural Networks & Learning Systems , vol. 27, no. 7, July 2016. link: http://arxiv.org/pdf/1506.05212.pdf ** Classifying spike time latency patterns, comparison with tempotron 4. S. Hussain and A. Basu, "Multi-class Classification by Adaptive Network of Dendritic Neurons with Binary Synapses using Structural Plasticity," Frontiers in Neuroscience , Mar, 2016. doi: 10.3389/fnins.2016.00113 link: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4814530/ ** Ensemble learning, adaptive allocation of dendrites, performance on MNIST, hardware savings analysis 5. S. Roy and A. Basu, "An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks," IEEE Trans. on Neural Networks and Learning Systems , accepted, 2016. link: http://arxiv.org/pdf/1512.01314.pdf ** unsupervised spike time based learning, sequence learning 6.S. Roy and A. Basu, "An online structural plasticity rule for generating better reservoirs," Neural Computation , accepted, 2016. link: http://arxiv.org/pdf/1604.05459.pdf ** Improving separation property of reservoirs in LSM Thanks Arindam Basu Assistant Professor School of EEE Nanyang Technological University http://www3.ntu.edu.sg/home/arindam.basu/ Regards, Arindam ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

June 16, 2016

comp-neuro current status

by Wijnants Mike

Dear comp-neuro user, As you may have noticed the comp-neuro mailing list has been offline for a few weeks. Unfortunately we lost access to the previous domain name because of miscommunication with the domain provider. To serve the computational neuroscience community we have decided to restart the service with a temporary domain as comp-neuro(a)neuroinformatics.be We plan to migrate to another domain name in the future and will announce this when ready. Groetjes, Erik

June 16, 2016

PhD position on Multistable perception : modelisation and analyse gaze and electroencephalographic correlates

by Alan Chauvin

Application are invited for a PhD studentship in Modelling multistable perception by stochastic resonance processes. Closing dates for applications : 15th June 2016. In summary, the main objectives of this PhD are to unify available models of stochastic resonance and to experimentally evaluate the contribution of gaze noise to decision making processes in multistable perception. To this aim, the successful candidate will contribute to theoretical, methodological, and experimental studies. Three research axes are identified: (1) developing stochastic resonance models and comparing these models to the recent Bayesian models described in [Moreno-Bote, Knill & Pouget, 2011]; (2) development of a tool set for the analysis of the neuronal correlates based on EEG feature extraction and machine learning for perceptual change prediction; (3) the design of experimental paradigms for multistable perception, with gaze and/or EEG recordings. This subject is on a confluence of multiple research axes, all essential for a successful PhD : • Stochastic resonance modelling: GIPSA-lab/CICS • Retinal modelling: GIPSA-lab/ViBS, LPNC • Study of micro-saccades: LPNC, GIPSA-lab/CICS • Gaze experiment design: GIPSA-lab/ViBS, LPNC • Joint Gaze and EEG experiment design : GIPSA-lab/ViBS • EEG signal analysis : GIPSA-lab/ViBS. Apllicants should have a strong background in stochastic signal processing and have strong interest in pstychophysics, oculometry and EERG recording. French is not mandatory. The Gipsa-lab is situated in the University Grenoble-Alpes (UGA : http://www.univ-grenoble-alpes.fr) The UGA is located in Grenoble, an international city and a wonderful place to live, work, and study. Nestled in the Alps, Grenoble enjoys an incomparable natural setting, with opportunities for sports lovers and nature enthusiasts alike. More information on : https://www.adum.fr/as/ed/page.pl?site=edeeats&page=CDlisteSujetFleche *PhD director : * Steeve Zozor (CR, CNRS, HDR EEATS, GIPSA-lab, research group CICS) *steeve.zozor(a)gipsa-lab.grenoble-inp.fr <steeve.zozor(a)gipsa-lab.grenoble-inp.fr>**, tel 33 (0)4 76 82 71 04* *PhD supervisors : * Ronald Phlypo (MCF Grenoble-INP, GIPSA-lab, research group ViBS) *ronald.phlypo(a)gipsa-lab.grenoble-inp.fr <ronald.phlypo(a)gipsa-lab.grenoble-inp.fr>**, tel 33 (0)4 76 82 64 86* Alan Chauvin (MCF UGA, lab LPNC, research group Perception et Sensori-Motricité) alan.chauvin@ <alan.chauvin(a)upmf-grenoble.fr>univ <alan.chauvin(a)upmf-grenoble.fr>-grenoble- <alan.chauvin(a)upmf-grenoble.fr> alpes <alan.chauvin(a)upmf-grenoble.fr>.fr <alan.chauvin(a)upmf-grenoble.fr>*, tel 33 (0)4 76 82 69 26* -- Laboratoire de Psychologie et NeuroCognition LPNC CNRS UMR 5105 Universite Pierre-Mendes France (UPMF) Batiment Science de l'Homme et Math (BSHM) 38041 Grenoble Cedex 09 Alan.Chauvin(a)upmf-grenoble.fr 33 (0) 476 825 926

May 20, 2016

Researcher positions at ATR Brain Labs (Kyoto, Japan)

by Haruo HOSOYA

Dear all, I am pleased to announce that ATR Brain Labs in Kyoto, Japan has open positions for researchers or engineers in theoretical visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories ----------------------------------------------------------------------------------------------------- * Researcher and Engineer positions at ATR Brain Labs, Kyoto, Japan Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers and research engineers in computational visual neuroscience. We seek for applicants who are particularly interested in theoretical studies on hierarchical vision models based on statistical learning. The studies should be motivated toward understanding of computation and representation in visual cortex, where a stronger emphasis should be put on biological connections and theoretical insights rather than short-term applicability. Specific topics may include but are not limited to: - category-specific representations in higher visual areas - visual recognition and imagery - relationship between neural activities and visual consciousness (perception) * Requirements for Researchers Applicants must have a Ph.D. or be near completion. Successful candidates will have expertise in one of the mathematical areas listed below, as well as strong interest in neuroscience and good programming experience. – computational neuroscience, machine learning, computer vision * Requirements for Research Engineers Applicants must have good programming experience and strong motivations to take part in the research above mainly from program development. * Number of openings A few * Employment conditions Position : Full-time Researcher / Full-time Research Engineer Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan * Application materials Please submit the following five materials to the contact address below, either in printed or electronic form: 1 CV 2 List of publications 3 Reprints of 1-3 major publications (applicants for Researchers) or summary of past projects 4 Essay (up to two pages in A4 or letter size) describing: – Summary of your previous research and/or development – Interests for research – Additional research skills not directly foreseeable from 1 or 2 5 Recommendation letters from more than two researchers If submitted in printed form, original documents will not be returned. * Judging system After documentary examination, we ask for presentation and interview if needed. * Starting date Soon (negotiable) * Deadline for application Opens until positions are filled. * Contact Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories (Application for Researcher Position) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Web: http://www.cns.atr.jp/dbi/en/open-positons/ * Use of personal data All personal data received will be properly managed and only be used for the purpose of recruitment.

May 20, 2016

Postdoctoral fellowship in primate neurophysiology, University of Arizona (Gothard Lab)

by Ueli Rutishauser

*Postdoctoral fellowship in primate neurophysiology.* *University of Arizona, College and Medicine, Department of Physiology, Tucson. * Applications are invited to join a Medical Research Fund for Neuroscience and NIH funded research program investigating the neural mechanisms of emotion and social interactions in non-human primates. The applicant will carry out neural recordings from the amygdala and medial prefrontal cortex of macaque monkeys using multielectrode arrays and will explore the patterns of neural activity within the brain and between brains of two monkeys engaged in social interactions. This will include, behavioral work with monkeys (training and preparation them for electrophysiological recordings), neurophysiological recordings, and data analysis. The applicant will have access to state-of-the art equipment, facilities, and will work in a team with established expertise in behavioral neurophysiology, with ample opportunity to learn new experimental approaches, techniques and methods. Candidates should have a recent PhD in systems or computational neuroscience with a track-record of first-author publications. Strong analytical and programming (Matlab or similar), skill and expertise in data analysis and statistics are essential. Individuals with strong analytical and technical skills who wish to expand into neurophysiological recordings are encouraged to apply, provided they are prepared to run quasi-independently neurophysiological experiments. Excellent written and oral English communication skills are required. The position is available from July 1st 2016, with a competitive salary commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Applicants must pass background screening and health checks to be able to work with monkeys. The University of Arizona is an equal opportunity employers and women and minorities are encouraged to apply. Interested applicants should send a CV, statement of research accomplishments and interests, copies of 2-3 representative publications and contact information for 2-3 reference letters to Katalin Gothard at kgothard(a)email.arizona.edu Informal inquiries are welcome. Further information about the lab can be found at www.gothardlab.com (Please note I am posting this on behalf of a collaborator, please do not contact me for this job).

May 19, 2016

PhD positions

by Laurent Perrinet

Dear colleagues, We have an opportunity for funding a PhD position at the cross section between Aerial Robots, Vision, Neural Networks and Bio-Inspired Computer Vision: http://doc2amu.univ-amu.fr/en/controlling-an-aerial-robot-by-human-semaphor… The project has been pre-selected and we are looking for the ideal candidate to be finally selected (10 out of 20 projects are awarded). Applications are done online, but do not hesitate to contact us for any question related to the project or to the eligibility conditions (summarized below). Best regards, Laurent Perrinet and Franck Ruffier Student eligibility The following eligibility criteria must be fulfilled in order for your application to be evaluated by the Selection Committee. Applications not meeting the criteria will not be evaluated and will be rejected. For an application to be eligible: Specific Doctoral School requirements in terms of marks, experience, or any other matter that is a prerequisite to enrolment to the doctorate programme must be met. When applicable, specific doctoral school requirements are indicated in each Call for Candidates. You must be at the time of recruitment, in possession/or finalizing the master degree or equivalent degree which would formally entitle to embark on a doctorate. You must be available to engage in the programme at the starting date (December 1st, 2016) At the time of recruitment, not to have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately prior to the reference date (December 1st, 2016). Compulsory national service and/or short stays such as holidays in France are not taken into account. It must be submitted on the Web Portal before the deadline: June 24th 2016, at midnight. It must consist of a complete Application Package. Incomplete or missing documents are not acceptable. -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet <http://invibe.net/LaurentPerrinet>

May 19, 2016

［CFP］ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA)

by 刘伟锋

[Apologies for cross-postings] ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Call for papers ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA) December 12, 2016 http://staff.ustc.edu.cn/~xinmei/ICDM2016_Workshop/ICDM2016_Workshop.html ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Human activity analysis is an important area of computer vision and pattern recognition research with the rapid development of computing and sensing technologies such as the emergence of social network and wearable devices. It is becoming more and more critical to develop human-centered multimedia analytics including human behavior recognition, personal data mining, experiences of wearable-device applications, intelligent surveillance, semantic relationship analysis between heterogeneous multimedia. The development of the Internet of Things opens up great potential. Many data mining or machine learning techniques have recently been successfully developed and applied to human activity analysis. For example, smart devices (e.g. Microsoft’s SenseCam, Google Glass, smart phone, smart watches, portable EEG acquisition devices, etc.) facilitate the capture and collection of human activity multimedia; sparse representation is widely employed for human activity recognition; multi-view learning algorithms significantly boost the performance of human re-identify; manifold learning algorithms dramatically enhance the recognition rates in human behavior analysis where there is only a few labeled samples; and deep learning has produced promising results in many human-centered applications. Motivated by the inclination to collect a set of recent advances and results in these related topics, provide a platform for researchers to exchange their innovative ideas and attractive improvements on human activity analysis, and introduce interesting utilizations of data mining and machine learning algorithms for particular human-centered applications, this workshop will target emergent data mining methods for human activity analysis. To summarize, this workshop welcomes a broad range of submissions developing and using data mining techniques for human activity analysis. We are especially interested in 1) theoretical advances as well as algorithm developments in data mining for human activity analysis, 2) reports of practical applications and system innovations in human activity analysis, and 3) novel data sets as test bed for new developments, preferably with implemented standard benchmarks. The following list suggests topics of interest (but not limited to): • Multi-view Learning algorithms for Human Activity Analysis • Sparse and/or Manifold Learning for Human Activity Representation • Human Action Recognition in Images/Videos • Human Behavior Analysis • Human-centered Social Media Analytics • Smart Computing for Personal Data Mining • Deep Learning for Human-centered Media • Parallel Computing for Human-centered Media • Experiences of wearable-device applications • Human-centered Data Visualization • Analytics developed from Computational Psychoanalysis and related underpinnings. Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Important Dates August 12, 2016: Due date for full workshop papers September 13, 2016: Notification of workshop papers acceptance to authors September 20, 2016: Camera-ready deadline for accepted papers December 12, 2016: Workshop date Instruction for paper submission The page limit of workshop papers is 8 pages in the standard IEEE 2-column format ( http://www.ieee.org/conferences_events/conferences/publishing/templates.html) including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at http://icdm2016.eurecat.org/. Papers should be submitted in PDF format, electronically, using the CyberChair submission system ( https://wi-lab.com/cyberchair/2016/icdm16/scripts/submit.php?subarea=S08&un… ). Registration and expenses Every workshop paper must have at least one paid registration in order to be published, no matter whether the author is a workshop organizer or an invited speaker. Workshop organizers: Dr. Xinmei Tian Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China, 230027. Email: xinmei(a)ustc.edu.cn Website: http://staff.ustc.edu.cn/~xinmei/ Phone: +86 551-63600281 Dr. Weifeng Liu, China University of Petroleum (East China), #66, Changjiang Road West, Huangdao District, Qingdao 266480, China, Email: liuwf(a)upc.edu.cn Prof. Fionn Murtagh Department of Computing and Mathematics, University of Derby, Derby DE22 1GB, UK, and Department of Computing, Goldsmiths, University of London, London, SE14 6NW, UK.. Email: fmurtagh(a)acm.org Website: http://www.fmurtagh.info

May 18, 2016

PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada

by Tatsuno, Masami

[Apologies for cross-postings] --- PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada --- One PhD/MSc student position is available immediately in the labs of Prof. Masami Tatsuno and Prof. Majid Mohajerani at the Canadian Centre for Behavioural Neuroscience (CCBN), University of Lethbridge, Canada (http://www.uleth.ca/artsci/neuroscience/about) We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous neural activity during sleep facilitates performance improvement. We use the state-of-the-art multi-electrode recordings from freely behaving rodents and imaging techniques such as two-photon Calcium imaging and wide-field voltage imaging. The successful candidate will investigate how external manipulation of sleep contributes to consolidation of memory. Several different methods including transcranial direct current stimulation, targeted memory reactivation and optogenetics will be employed. The successful candidate will also have an opportunity to participate in developing a novel analysis method for neural signals and modeling memory function. A high degree of interaction with the labs in the Brain Dynamics group ( http://lethbridgebraindynamics.com ) as well as in CCBN ( http://www.uleth.ca/artsci/neuroscience ) will be also expected. Motivated candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno (tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca>). Please do not have reference letters sent unless requested. Applicants should put "SysNeuro PhD/MSc recruitment" in the subject of their email. Various funding will be available depending on the candidate's qualification. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment. ********************************************* Masami Tatsuno, Ph.D. Associate Professor of Neuroscience The University of Lethbridge Email: tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca> http://lethbridgebraindynamics.com/masami_tatsuno Majid Mohajerani, Ph.D. Assistant Professor of Neuroscience The University of Lethbridge Email: mohajerani(a)uleth.ca<mailto:mohajerani@uleth.ca> http://lethbridgebraindynamics.com/majid-mohajerani/ *********************************************

May 17, 2016

[jobs] Lecture in Computer Science, Aberystwyth UK

by Patricia Shaw

Lecturer in Computer Science, Aberystwyth University, Wales, UK £34,576 - £37,768 per annum Closing Date: 19 June 2016 Interview Date: 6 July 2016 Ref No: IMPACS.16.06 Further details and to apply: https://jobs.aber.ac.uk/en/vacancy/lecturer-in-computer-science-264661.html The Department of Computer Science wishes to appoint a lecturer to undertake teaching and research. The successful candidate will be expected to contribute to both postgraduate and undergraduate teaching, and to demonstrate a strong research record in an area that is of direct relevance to at least one of the four research groups within the Department: *Intelligent Robotics; Vision, Graphics and Visualisation; Advanced Reasoning; and Bioinformatics*, with a preference for *Bioinformatics or Space Robotics*. The interviewed candidates will be expected to present a lecture or lecture excerpt as part of the selection process. Prospective applicants may discuss the post informally with the Head of Department, Dr Bernie Tiddeman (e-mail: bpt(a)aber.ac.uk) or the Director of the Institute of Maths, Physics and Computer Science, Professor Qiang Shen (qqs(a)aber.ac.uk)

May 17, 2016

Postdoctoral Research Scientist Position in Neuroimaging and Neurostimulation

by Paul Sajda

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) directed by Prof. Paul Sajda at Columbia University has an immediate opening for a Postdoctoral Research Scientist (Fellow) to participate in a project focused on building and characterizing an integrated closed-loop multimodal neuroimaging and neurostimulation system for use in humans. This is a joint project with the Medical University of South Carolina (Profs. Truman Brown and Mark George ) where we are building an EEG/fMRI/TMS instrument capable of real-time and on-line neurostimulation and imaging. Our long term goal is to use the instrument for both basic science and clinical applications. The successful applicant will be involved in both developing and testing the instrument as well as conducting novel scientific experiments and clinical studies. Applicants should have a background in several of the following area: Recording and analysis of simultaneous EEG and fMRI , real-time signal processing, recording and analysis of simultaneous EEG and TMS, instrumentation (digital and analog electronics), machine learning. A Ph.D. in Electrical Engineering, Computer Science or Neuroscience is preferred. LIINC (liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/>) is within the Department of Biomedical Engineering at Columbia University. We are part of a dynamic and vibrant neuroengineering environment which includes the Center for Neuroengineering and Computation (cnec.columbia.edu <http://cnec.columbia.edu/>) the Zuckerman Mind Brain Behavior Institute (zuckermaninstitute.columbia.edu <http://zuckermaninstitute.columbia.edu/>) and the Data Sciences Institute (dsi.columbia.edu <http://dsi.columbia.edu/>). Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The position is available immediately and applicants will be considered on a rolling basis. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/> Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu <http://tnsre.bme.columbia.edu/> Chair, IEEE BRAIN Initiative http://brain.ieee.org <http://brain.ieee.org/>

May 16, 2016